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可见-近红外光谱技术在森林土壤研究中的应用 被引量:1

Application of Visible-near-infrared spectroscopy in forest soil research
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摘要 土壤是森林生态系统中的重要组成部分,全面、高效地获取森林土壤信息对于森林保护与经营管理意义重大。传统的实验室方法获取土壤信息成本高、效率低,难以满足林业信息化的发展需求。可见-近红外光谱(VIRS)分析技术作为一种无损、实时、高通量的分析手段,具备高效、准确地获取土壤组分信息的能力,可为土壤环境监测、数字制图、农林业生产提供大量基础数据。笔者简述了可见-近红外光谱技术获取土壤环境光谱信息的检测过程和光谱数据处理方法,综述了近年来国内外学者在土壤可见-近红外光谱特征提取、影响因素等方面的研究进展,并针对该技术深入研究土壤学的意义及未来的发展方向进行了展望。 Soil is an important part of forest ecosystem.It is of great significance to acquire forest soil information comprehensively and efficiently for forest protection and management.Traditional laboratory methods to obtain soil information cost high,low efficiency,difficult to meet the development needs of forestry information.Visible near-infrared spectroscopy(NIRS),as a nondestructive,real-time,high-throughput analytical method,has the ability to obtain soil composition information efficiently and accurately,and can provide a large number of basic data for soil environmental monitoring,digital mapping,agricultural and forestry production.The author has summarized the visible to near infrared spectroscopy technology for soil environmental information detection process and spectral data processing methods,scholars at home and abroad in recent years were reviewed in the soil-near infrared spectrum feature extraction and research progress of influence factors,and on the significance of further study of soil science and the technology development direction is prospected in the future.
作者 覃荣 石媛媛 唐健 覃祚玉 潘波 赵隽宇 Qin Rong;Shi Yuanyuan;Tang Jian;Qin Zuoyu;Pan Bo;Zhao Junyu(Guangxi Gaofeng State Owned Forest Farm,Nanning Guangxi 530028,China;Guangxi Zhuang Autonomous Region Forestry Research Institute,Guangxi Key Laboratory of Superior Timber Trees Resource Cultivation,Nanning Guangxi 530002,China)
出处 《南方林业科学》 2022年第2期73-78,共6页 South China Forestry Science
基金 广西优良用材林资源培育重点实验室自主课题资助[2019-A-02-01] 广西优良用材林资源培育重点实验室自主课题资助项目[2020-A-04-01] 广西林业科技推广项目[{2021}24号] 广西工业原料林高质量经营的土壤大数据技术应用与示范([2021]TG18号)。
关键词 可见-近红外光谱技术 近地遥感 土壤成分 数字化 Visible-near-infrared spectroscopy hyperspectral soil composition digital
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